Shashank Joshi

Luster a scalable architecture file system: A research implementation on active storage array framework with Luster file system

File System is Data-Structure with Logic (method) to handle efficiently a group of information on disk. File systems come are classified according to their structure method of operation, speed of operation, scalability and flexibility size and security. A file system framework is an intends to sort out data anticipated that would be retained after a program terminates by giving methodology to store, retrieve and update information, and also deal with the accessible space on the device(s) which contain it. A file system framework sorts out information in a proficient way and is tuned to the particular attributes of the device. Individual device partitions can be setup utilizing one of the wide ranges of file systems. Each has its own particular features, impediments, and unique characteristics. This paper concentrates on the components of versatile and adaptable parallel file system framework named Lustre. A null hypothesis work has been presented on Luster file system which is a step in HPC(high performance computing). The hypothesis accepts research scope from survey of articles from various portals and presents in better approach developed by our team in research domain of file system to handle issues and built a better scalable file system like luster. A sequential survey analysis has been done on file system for articles from last three decades in File system research. The research scope unwrapped by scholars is been highlighted in this article and implementation work of innovative scalable file system is been presents which solves many research Questions and space in file system research domain. Performance evaluation helps in assisting File system in current scenario. A systematic literature survey has been incorporated in manuscript for finding research directions. Twenty research articles have ben breakdown in abstract methodology and research scope to find in challenges and subsequent methods to overcome those challenges.

Component-Based Software System Test Case Prioritization with Genetic Algorithm Decoding Technique Using Java Platform

Test case prioritization includes testing experiments in a request that builds the viability in accomplishing some execution objectives. The importance amongst the most imperative testing objectives is the fast rate of fault recognition. Test case ought to run in a request that extends the likelihood of fault discovery furthermore that detects the most serious issues at the early stage of testing life cycle. In this paper, we develop and prove the necessity of Component-Based Software testing prioritization framework which plans to uncover more extreme bugs at an early stage and to enhance software product deliverable quality utilizing Genetic Algorithm (GA) with java decoding technique. For this, we propose a set of prioritization keys to plan the proposed Component-Based Software java framework. In our proposed method, we allude to these keys as Prioritization Keys (PK). These keys may be project size, scope of the code, information stream, and bug inclination and impact of fault or bug on overall system, which prioritizes the Component-Based Software framework testing. The integrity of these keys was measured with implementation of key assessment metric called KAM that will likewise be ascertained. This paper demonstrates how software testing can be efficient with management of data integrity factor to avoid major security issues. One of the main advantages of our approach is that domain specific semantics can be integrated with the data quality test cases prioritization, thus being able to discover test feed data quality problems beyond conventional quality measures.

Hybrid machine translation for English to Marathi: A research evaluation in Machine Translation: (Hybrid translator)

Information Present in Different language and Structure gives Rise to language as barrier in information retrieval. Informative Document on queen Elizabeth is been writing by foreign language English which makes its difficult for a Marathi reader to understand and seek History of England, on Similar lines Literature Work on Shivaji is mostly documented in Marathi which makes foreign Historians difficult to gain know, in both case user is at times unknown of facts due to language and may lose interest on information. Vital information on current happing on village and taluka level are been published in newspaper with local language which setback information spread among other Masses. Many Time government documents and forms are been presented in English Language where a lay man from Marathi language background finds difficulty to understand information and even avoid such procedures therefore it highly urges for need of automated Software based Translation system which would assist in cross Domain information Retrieval. Machine Translation assist to translate Information presented in one language to other language. Information can be present in form of text, speech and image translating this information helps for sharing of information and ultimately information gain. A lot of work has been done on Translation of English to Hindi, Tamil Bangla and other foreign languages also. Machine Translation is challenging Research Area with numerous issues due to language ambiguity like grammar, Structure and even fluency of use. Numerous Methodologies have been proposed and developed which have uplifts and downfalls also, Although statistical and rule based at core with each having limitations, rule based produce accurate mapped translation and are trainable system but costly, whereas statistical produce fluent translation but lack accuracy and sense. Hybrid is combine approach which integrated approach and helps to optimize translation output. The research manuscript we present hybrid machine Translator for English to Marathi language which translated Web pages, text Documents on Agriculture (crops fruits for farmer), Medical reports in Marathi and tourism related information. Proposed System consists of Parallel Multi-Engines which process statistical and rule based Translation for same input document and produce a optimized result by performing statistical over rule based which give fluent language sense outputs. Mapper algorithm is been used in rule based Translation, with Agriculture corpus, medical and tourism corpus for statistical evaluation. Marathi wordnet has been implemented to enhance dictionary and incorporate better translation result Currently System has been proposed for text Document which can be extended to speech and voice. Comparative analysis for point view in one dimension of only limited set of Queries is done with Google Translator. Holding hybrid approach as better methodology. A Systematic survey of only 10 key articles used in research has been done. This research article is extension of our previous research surveys and partial implementations. And innovative S-measure has been new parameter proposed and evaluated by our research team.

Crime mitigation at Twitter using Big Data analytics and risk modelling

This paper focuses on a method to obtain sentiments of people from twitter and using it to analyze whether they can become threat to particular person or society. Machine learning is one of the technologies which is used for decision making and also make predictions by learning more from dataset. Since huge amount of data is streaming very fast, it needs to be classified in short duration. In this paper we aim to achieve faster classification by using Big Data with Naïve Bayes Classifier. We have demonstrated this by using HIVE to store and process data.

Software code cloning detection and future scope development- Latest short review

Recognition regarding code clones equivalent or similar source code fragments is of concern both to researchers along with to practitioners. An evaluation of the clone detection results for a single source code version gives a developer with details about a discrete state in the development of the software system. Nevertheless, tracing clones throughout several source code versions enables a clone analysis to take into consideration a temporal dimension. This kind of an analysis of clone evolution may be utilized to find out the patterns as well as characteristics displayed by clones as they evolve within a system. Developers may utilize the outcomes of this analysis to recognize the clones more thoroughly, which may guide them to handle the clones more consequentially. Hence, studies of clone evolution provide a important role in perceiving as well as handling concerns of cloning in software. This paper gives a systematic overview of the literature on clone evolution. Specifically, we give a complete analysis of 20 appropriate papers that we found as per our review protocol. The review outcomes are arranged to deal with three research questions. As a result of our outcomes to these questions, we provide the approaches that researchers have utilized to analyze clone evolution, the patterns that researchers have detected evolving clones to exhibit, as well as the data that researchers have established concerning the extent of conflicting adjustment gone through clones throughout software evolution. Overall, the review outcomes show that while researchers have carried out many bench marked studies of clone evolution, there are conflicts among the noted findings, specifically concerning the lifetimes of clone lineages as well as the persistence with which clones are modified throughout software evolution. We recognize human-based benchmarked studies along with classification of clone evolution patterns as two areas in specifically require of further work.

Genetic algorithm secure procedures algorithm to manage data integrity of test case prioritization methodology

The focus of present research paper is to manage data integrity and trustworthiness of issues involved in software testing phase of software development life cycle. Many times, it seems that, data integration left behind the software testing phase and it is directly focused at software deployment or delivery time. To avoid issues due to lack of data integration, we developed algorithm which can track integration of test case prioritization along with trustworthiness of test case execution. This paper demonstrates how software testing can be efficient with management of data integrity factor to avoid major security issues. One of the main advantages of our approach is that domain specific semantics can be integrated with the data quality test cases prioritization, thus being able to discover test feed data quality problems beyond conventional quality measures.